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Platform Unavailable During Publication: What the System Does
We analyze the mechanism of partial publication in Telematic β what happens if one of the platforms is temporarily unavailable, and how the system retries the publication later.
We analyze the mechanism of partial publication in Telematic β what happens if one of the platforms is temporarily unavailable, and how the system retries the publication later.
Multiplatform publishing sounds straightforward until it becomes clear that platforms have a life of their own. YouTube may return a server error for a few minutes, Telegram may temporarily restrict a bot, VK may request reauthorization of the community admin token precisely when a video is supposed to be released on three channels at once. The question is not whether such a failure will occur, but what the system will do when it inevitably happens.
The most naive approach to autopublishing is to consider it an atomic operation: either the material is published everywhere at once, or it doesn't get published at all, and in the case of a partial failure, everything needs to be redone manually. In practice, this is the most unpleasant scenario: the video has already been published on YouTube with the correct title and thumbnail, while the publication on Telegram and VK is stuck due to temporary unavailability of the platform β and now one must manually figure out what has been published and what hasn't to avoid duplicating the publication.
We deliberately built into Telematic a logic that treats partial publication failure not as an exception, but as a working, expected scenario β and handles it automatically.
When material is published simultaneously on multiple platforms, the system treats each platform as a separate attempt within a single publication, rather than as a single atomic step. If, for instance, YouTube and Telegram accepted the material, but VK returned an error at that moment β the publication is neither considered fully successful nor fully failed. It receives the status partially published: some channels have already published, while others are waiting their turn.
This is a fundamental difference from the "all or nothing" approach. It eliminates the need to roll back already successful publications just because one platform let you down, and at the same time prevents the system from silently considering the material "published" if only part of the channels have actually gone live.
Once the publication is marked as partial, the system does not leave the problem to human discretion. It automatically makes retry attempts on those platforms that did not succeed the first time β without anyone manually entering the content card, checking what didn't go through, and clicking "publish" again only for the necessary channels.
This is especially important for failures that are temporary in nature: rate limiting by the platform, brief API unavailability, an expired token that is about to be refreshed. In most such cases, a retry after some time succeeds without any intervention β the system itself catches the remaining channels, and the material gradually reaches the status of fully published.
A separate level of protection is not a point-wise retry of one publication, but a regular check at the project level: the system periodically reviews publications that have remained partial longer than expected and attempts to close the remaining channels. This is a safeguard in case of longer failures β for example, if the platform was unavailable not for five minutes, but for several hours, and the usual automatic retry has not yet had a chance to work in the first cycle.
For this republish to be effective, it is important that the project has an active publication schedule set up β it is this schedule that dictates the rhythm with which the system returns to unfinished publications and checks their status. Without a schedule, partial publications will still be visible in the interface, but the regular automatic retry will be limited.
One day, one of our channels went down for several hours β the platform was conducting scheduled maintenance on its side, which we only learned about through returning errors. During this time, several publications went through autopilot that were supposed to be released simultaneously on multiple platforms.
If the system had operated on the "all or nothing" principle, each of these publications would have had to be manually reassembled and resent to all channels β risking duplicating the material where it had already been published correctly. Instead, we simply saw several publications in the interface with the status "partially published": on the working platforms, the material was released on time, while on the unavailable channel, the post was honestly waiting its turn.
When the platform was restored a few hours later, the regular republish on schedule automatically picked up the remaining publications without any manual intervention on our part β we simply checked the calendar the next day and saw that everything had closed itself. This is the very case where operational reliability works unnoticed: there was a problem, but it did not create extra work for us.
If you see a publication in the project with the status "partially published," it is not a reason to rush to manually investigate and duplicate the publication on the missing channels β there is a high probability that the system has already queued a retry attempt and will handle it itself in the next cycle. Manual intervention makes sense only when the partial status persists unusually long β this is a signal that the issue on the platform side is more serious than a usual brief failure and requires separate attention (for example, truly expired authorization that needs to be updated manually).
It is also worth ensuring that the project has an active publication schedule set up β it not only determines when new content is released, but also sets the rhythm with which the system returns to unfinished publications. A project without an active schedule loses part of the automatic safety net in case of prolonged platform failures.
Ultimately, the idea of partial publication and automatic retry is simple: the failure of one platform should not become a problem for the entire publication as a whole, and certainly should not turn into manual work for a person who simply wanted the video to be released everywhere it should.
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